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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
v1v2v3v4 (latest)

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

7 June 2017
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
ArXiv (abs)PDFHTML

Papers citing "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

50 / 1,627 papers shown
Title
Interpretation of Emergent Communication in Heterogeneous Collaborative
  Embodied Agents
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
Shivansh Patel
Saim Wani
Unnat Jain
Alex Schwing
Svetlana Lazebnik
Manolis Savva
Angel X. Chang
LM&Ro
72
27
0
12 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent
  Reinforcement Learning
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
Weichao Mao
Lin F. Yang
Jianchao Tan
Tamer Bacsar
99
57
0
12 Oct 2021
Learning to Coordinate in Multi-Agent Systems: A Coordinated
  Actor-Critic Algorithm and Finite-Time Guarantees
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
Siliang Zeng
Tianyi Chen
Alfredo García
Mingyi Hong
92
11
0
11 Oct 2021
Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games
Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games
Patrick Phillips
32
4
0
10 Oct 2021
TiKick: Towards Playing Multi-agent Football Full Games from
  Single-agent Demonstrations
TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations
Shiyu Huang
Wenze Chen
Longfei Zhang
Shizhen Xu
Ziyang Li
Fengming Zhu
Deheng Ye
Tingling Chen
Jun Zhu
OffRL
126
27
0
09 Oct 2021
When Can We Learn General-Sum Markov Games with a Large Number of
  Players Sample-Efficiently?
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
Ziang Song
Song Mei
Yu Bai
116
68
0
08 Oct 2021
Distributed Proximal Policy Optimization for Contention-Based Spectrum
  Access
Distributed Proximal Policy Optimization for Contention-Based Spectrum Access
Akash S. Doshi
J. Andrews
65
3
0
07 Oct 2021
Influencing Towards Stable Multi-Agent Interactions
Influencing Towards Stable Multi-Agent Interactions
Woodrow Z. Wang
Andy Shih
Annie Xie
Dorsa Sadigh
127
35
0
05 Oct 2021
DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge
  Computing
DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge Computing
Baris Yamansavascilar
A. C. Baktir
Cagatay Sonmez
Atay Ozgovde
Cem Ersoy
56
25
0
05 Oct 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent
  Contribution in Multiagent Reinforcement Learning with Shapley Values
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
89
65
0
04 Oct 2021
Behaviour-conditioned policies for cooperative reinforcement learning
  tasks
Behaviour-conditioned policies for cooperative reinforcement learning tasks
Antti Keurulainen
Isak Westerlund
Ariel Kwiatkowski
Samuel Kaski
Alexander Ilin
29
0
0
04 Oct 2021
Divergence-Regularized Multi-Agent Actor-Critic
Divergence-Regularized Multi-Agent Actor-Critic
Kefan Su
Zongqing Lu
151
27
0
01 Oct 2021
Emergence of Theory of Mind Collaboration in Multiagent Systems
Emergence of Theory of Mind Collaboration in Multiagent Systems
Luyao Yuan
Zipeng Fu
Linqi Zhou
Kexin Yang
Song-Chun Zhu
92
10
0
30 Sep 2021
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using
  Reward Machines
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines
Jueming Hu
Zhe Xu
Weichang Wang
Guannan Qu
Yutian Pang
Yongming Liu
107
12
0
30 Sep 2021
Information-Bottleneck-Based Behavior Representation Learning for
  Multi-agent Reinforcement learning
Information-Bottleneck-Based Behavior Representation Learning for Multi-agent Reinforcement learning
Yue Jin
Shuangqing Wei
Jian Yuan
Xudong Zhang
32
3
0
29 Sep 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
135
60
0
28 Sep 2021
Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain
  Environments for Heterogeneous Multi-Robot Systems
Meta Reinforcement Learning Based Sensor Scanning in 3D Uncertain Environments for Heterogeneous Multi-Robot Systems
Junfeng Chen
Yuan Gao
Junjie Hu
Fuqin Deng
Tin Lun Lam
79
1
0
28 Sep 2021
LINDA: Multi-Agent Local Information Decomposition for Awareness of
  Teammates
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates
Jiahan Cao
Lei Yuan
Jianhao Wang
Shaowei Zhang
Chongjie Zhang
Yang Yu
De-Chuan Zhan
99
21
0
26 Sep 2021
Beyond Robustness: A Taxonomy of Approaches towards Resilient
  Multi-Robot Systems
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok
Matthew Malencia
Luca Carlone
Gaurav Sukhatme
Brian M. Sadler
Vijay Kumar
154
57
0
25 Sep 2021
Combining Contention-Based Spectrum Access and Adaptive Modulation using
  Deep Reinforcement Learning
Combining Contention-Based Spectrum Access and Adaptive Modulation using Deep Reinforcement Learning
Akash S. Doshi
J. Andrews
35
1
0
24 Sep 2021
A Multi-Agent Deep Reinforcement Learning Coordination Framework for
  Connected and Automated Vehicles at Merging Roadways
A Multi-Agent Deep Reinforcement Learning Coordination Framework for Connected and Automated Vehicles at Merging Roadways
S. Nakka
Behdad Chalaki
Andreas A. Malikopoulos
75
25
0
23 Sep 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
J. Kuba
Ruiqing Chen
Munning Wen
Ying Wen
Fanglei Sun
Jun Wang
Yaodong Yang
129
250
0
23 Sep 2021
Locality Matters: A Scalable Value Decomposition Approach for
  Cooperative Multi-Agent Reinforcement Learning
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning
Roy Zohar
Shie Mannor
Guy Tennenholtz
57
10
0
22 Sep 2021
Learning Multi-agent Action Coordination via Electing First-move Agent
Learning Multi-agent Action Coordination via Electing First-move Agent
Jingqing Ruan
Linghui Meng
Xuantang Xiong
Dengpeng Xing
Bo Xu
65
3
0
20 Sep 2021
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without
  Explicit Centralized Structures
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures
Chapman Siu
Jason M. Traish
R. Xu
OffRL
30
0
0
19 Sep 2021
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning
Chapman Siu
Jason M. Traish
R. Xu
65
2
0
19 Sep 2021
DiNNO: Distributed Neural Network Optimization for Multi-Robot
  Collaborative Learning
DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning
Javier Yu
Joseph A. Vincent
Mac Schwager
136
38
0
17 Sep 2021
Decentralized Global Connectivity Maintenance for Multi-Robot
  Navigation: A Reinforcement Learning Approach
Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach
Minghao Li
Yingrui Jie
Yang Kong
Hui Cheng
62
9
0
17 Sep 2021
Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With
  Sensing, Communication, and Localization Constraints
Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Sensing, Communication, and Localization Constraints
M. Mishra
Prithvi Poddar
Rajat Agrawal
Jingxi Chen
Pratap Tokekar
P. B. Sujit
41
7
0
14 Sep 2021
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via
  Convex Relaxation
ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation
Chuangchuang Sun
Dong-Ki Kim
Jonathan P. How
AAML
92
19
0
14 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to
  Multiagent Domain
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
86
103
0
14 Sep 2021
Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO
  systems
Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems
Heunchul Lee
Jaeseong Jeong
34
9
0
10 Sep 2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms
  with Finite-Time Analysis
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis
Ziyi Chen
Yi Zhou
Rongrong Chen
Shaofeng Zou
108
25
0
08 Sep 2021
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially
  Observable Environments
Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments
Zhenhui Ye
Xiaohong Jiang
Guang-hua Song
Bowei Yang
44
1
0
05 Sep 2021
Event-Based Communication in Distributed Q-Learning
Event-Based Communication in Distributed Q-Learning
Daniel Jarne Ornia
M. Mazo
65
2
0
03 Sep 2021
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization
E. Kargar
Ville Kyrki
35
2
0
02 Sep 2021
A review of mobile robot motion planning methods: from classical motion
  planning workflows to reinforcement learning-based architectures
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Changyin Sun
Zicheng He
Chunwei Song
Changyin Sun
108
59
0
31 Aug 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement
  Learning
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
Shenao Zhang
Li Shen
Lei Han
Li Shen
83
7
0
30 Aug 2021
Influence-Based Reinforcement Learning for Intrinsically-Motivated
  Agents
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents
Ammar Fayad
M. Ibrahim
62
5
0
28 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open
  Challenges
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
FedML
113
161
0
26 Aug 2021
Temporal Induced Self-Play for Stochastic Bayesian Games
Temporal Induced Self-Play for Stochastic Bayesian Games
Weizhe Chen
Zihan Zhou
Yi Wu
Fei Fang
36
3
0
21 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients
Settling the Variance of Multi-Agent Policy Gradients
J. Kuba
Muning Wen
Yaodong Yang
Linghui Meng
Shangding Gu
Haifeng Zhang
D. Mguni
Jun Wang
79
67
0
19 Aug 2021
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement
  Learning
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning
Mateus P. Mota
Álvaro Valcarce
J. Gorce
J. Hoydis
73
40
0
16 Aug 2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent
  Reinforcement Learning with Information Potential Field Rewards
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards
Mengyuan Li
Bin Guo
Jiangshan Zhang
Jiaqi Liu
Sicong Liu
Zhiwen Yu
Zhetao Li
Liyao Xiang
37
13
0
16 Aug 2021
Semantics-Native Communication with Contextual Reasoning
Semantics-Native Communication with Contextual Reasoning
Hyowoon Seo
Jihong Park
M. Bennis
Mérouane Debbah
LRM
106
37
0
12 Aug 2021
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous
  Action Spaces
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces
Ziyad Sheebaelhamd
Konstantinos Zisis
Athina Nisioti
Dimitris Gkouletsos
Dario Pavllo
Jonas Köhler
AI4CE
79
16
0
09 Aug 2021
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative
  Reinforcement Learning
Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning
Wanqi Xue
Wei Qiu
Bo An
Zinovi Rabinovich
S. Obraztsova
C. Yeo
AAML
100
35
0
09 Aug 2021
Game Theory and Machine Learning in UAVs-Assisted Wireless Communication
  Networks: A Survey
Game Theory and Machine Learning in UAVs-Assisted Wireless Communication Networks: A Survey
M. Zhou
Y. Guan
M. Hayajneh
K. Niu
C. Abdallah
AI4CE
51
8
0
07 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual
  Multi-Agent Reinforcement Learning
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
Iou-Jen Liu
Zhongzheng Ren
Raymond A. Yeh
Alex Schwing
79
15
0
06 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A
  Comprehensive Survey
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
A. Abdellatif
N. Mhaisen
Z. Chkirbene
Amr M. Mohamed
A. Erbad
Mohsen Guizani
OffRLAI4TS
65
23
0
05 Aug 2021
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